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  • Management Software in Java for Networked Bus Systems

    - by Geertjan
    Telemotive AG develops complex networked bus systems such as Ethernet, MOST, CAN, FlexRay, LIN and Bluetooth as well as in-house product developments in infotainment, entertainment, and telematics related to driver assistance, connectivity, diagnosis, and e-mobility. Devices such as those developed by Telemotive typically come with management software, so that the device can be configured. (Just like an internet router comes with management software too.) The blue AdmiraL is a development and analysis device for the APIX (Automotive Pixel Link) technology. Here is its management tool: The blue PiraT is an optimised multi-data logger, developed by Telemotive specifically for the automotive industry. With the blue PiraT the communication of bus systems and control units are monitored and relevant data can be recorded very precisely. And here is how the tool is managed: Both applications are created in Java and, as clearly indicated in many ways in the screenshots above, are based on the NetBeans Platform. More details can be found on the Telemotive site.

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  • JavaOne Latin America Schedule Posted

    - by reza_rahman
    The official schedule for JavaOne Latin America 2012 is now posted. For the folks that are not yet aware, JavaOne Latin America is to be held on 4-6 December at the Transamerica Expo Center in São Paulo, Brazil. As you can expect there are keynotes, technical sessions, hands-on labs and demos led by Java luminaries from Brazil, Latin America and across the globe. There's tons of good stuff on Java EE and GlassFish. Arun Gupta will be delivering the Java technical keynote alongside the likes of Judson Althoff, Nandini Ramani, Georges Saab, Henrik Stahl, Simon Ritter and Terrence Barr. Here are just some of the Java EE centric sessions: Time Title Location Tuesday, Dec 4 12:15 PM Designing Java EE Applications in the Age of CDI Mezanino: Sala 14 Wednesday, Dec 5 5:30 PM Java EE 7 Platform: More Productivity and Integrated HTML Keynote Hall Thursday, Dec 6 11:15 AM Developing JAX-RS Web Applications Utilizing Server-Sent Events and WebSocket Mezanino: Sala 2 Thursday, Dec 6 12:30 PM HTML5 WebSocket and Java Mezanino: Sala 12 Thursday, Dec 6 1:45 PM What's new in Java Message Service 2.0 Mezanino: Sala 14 Thursday, Dec 6 3:00 PM JAX-RS 2.0: New and Noteworthy in the RESTful Web Services API Keynote Hall Thursday, Dec 6 4:15 PM Testing JavaServer Faces Applications with Arquillian and Selenium Mezanino: Sala 13 Thursday, Dec 6 4:15 PM Distributed Caching to Data Grids: The Past, Present, and Future of Scalable Java Mezanino: Sala 14 There will also be Java EE/GlassFish demos at the DEMOgrounds. The full schedule is posted here. Hope to see you there!

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  • Twitter Tuesday - Top 10 @ArchBeat Tweets - May 27 - June 2, 2014

    - by OTN ArchBeat
    The Top 10 tweets from @OTNArchBeat for the last seven days, May 27- June 2, 2014.. RT @Java_EE: We changed the term from #J2EE and #JEE to Java EE in May 2006. Let's educate all users and especially recruiters. Retweet! May 30, 2014 at 12:00 AM Video: #kscope14 Preview: @timtow on Essbase Java API and @ODTUG Community Jun 02, 2014 at 12:00 AM #GoldenGate and #ODI - A Perfect Match in 12c - Part 1: Getting Started | Michael Rainey Jun 02, 2014 at 12:00 AM Podcast: Developing Enterprise Mobile Apps - Part 2 w/ @chriscmuir @fnimphiu @stevendavelaar @lucb_ May 29, 2014 at 12:00 AM Caveats on Using #WebLogic Server with JDK7 | @JayJayZheng May 28, 2014 at 12:00 AM SOA and Business Processes: You are the Process! @gschmutz @dschmied @t_winterberg et al #industrialsoa May 27, 2014 at 12:00 AM Video: #Kscope14 Preview: Data Modeling and Moving Meditation with @KentGraziano May 28, 2014 at 12:00 AM #Kscope14 Preview: @ericerikson on #HFM Metadata Diagnostics and more @ODTUG Jun 02, 2014 at 12:00 AM Extract Data from #FusionApps via Web Services | Richard Williams May 29, 2014 at 12:00 AM Top 10 @ArchBeat Tweets - May 20-26 #KScope14 #OBIEE #WebLogic #WebCenter May 27, 2014 at 12:00 AM

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  • YouTube: CoffeeScript Rocks (in NetBeans IDE)

    - by Geertjan
    CoffeeScript is a handy preprocessor for JavaScript, as shown in a quick demo below on YouTube, using the CoffeeScript plugin for NetBeans IDE. Right now, the NetBeans Plugin Portal doesn't have a CoffeeScript plugin for NetBeans IDE 7.4, but not to worry, the NetBeans IDE 7.3 plugin works just fine. http://plugins.netbeans.org/plugin/39007/coffeescript-netbeans Here's a small YouTube clip I made today showing how it all works: Also read this very handy and detailed NetBeans tutorial, on which I based the demo above: https://netbeans.org/kb/docs/web/js-toolkits-jquery.html Related info: http://www.youtube.com/watch?v=QgqVh_KpVKY http://www.ibm.com/developerworks/library/wa-coffee1/ http://blog.sethladd.com/2012/01/vanilla-dart-ftw.html http://api.jquery.com/fadeOut/

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  • JavaOne Kicks Off with Sunday Keynotes

    - by Yolande Poirier
    The Java Strategy, Partner, and Technical keynotes will be held on Sunday, September 22, beginning at 4:00 p.m. like last year, to free up time for session slots on Monday and Tuesday. The keynotes will again take place at the historic Masonic Auditorium on Nob Hill. That same evening at 7:00 p.m., attendees are invited to the official JavaOne Welcome Reception at the Taylor Street Café @ the Zone. Sunday will also feature User Group meetings (at Moscone West) and Java University courses (Hilton San Francisco Union Square). On Thursday, the Java Community keynote will start the wrap up of the conference. Register before July 19, 2013 and save US$400. Click here for information on registration packages, including the low-cost Discover pass alternative.

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  • Dynamic Layout in BI Publisher

    - by Manoj Madhusoodanan
    This blog tells about how to set dynamic layout of a BI Publisher report.Lets take a simple business scenario.If user wants to view the output in either PDF or EXCEL.Two ways we can achieve this.  1) If the output type is not a program parameter the we can choose the layout type at the time of submission in the SRS window. 2) If the report output type is a parameter we need to choose the layout at the time of submission of the request using FND_REQUEST.ADD_LAYOUT. Here I am discussing the second approach.Following components I have created for this scenario. 1) XXCUST - Sample Report : This program actually generates the XML data. It is linked with a RTF template.Note: At the time of creating this program you can uncheck Use in SRS to prevent users from submitting from SRS window.Because we are submitting this program from another concurrent program.Also is not required to add it to request group.2) XXCUST - Report Wrapper : This program calls XXCUST - Sample Report and exposed to user through SRS.3) SAMPLE_REPORT_WRAPPER : Executable which calls xxcust_sample_rep.main4) SAMPLE_REPORT_EXE : Executable which calls xxcust_sample_rep.report_main5) XXCUST - Sample Report Data Definition : Data Definition linked to XXCUST - Sample Report6) XXCUST - Sample Report Template : Template linked to XXCUST - Sample Report Data Definition 7) Package 8) RTF

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  • Transparency call for Spec Leads and EC materials posted

    - by heathervc
    The materials and recording from the February 2012 call for JCP program Spec Leads is now available.  This call features Martijn Verburg, alternate EC representative for the London Java Community and includes information on the Adopt-a-JSR program.  The materials and audio recording of the  "Leveraging the Community" call can be found on the multimedia page of jcp.org .  The EC meeting summaries from February and March 2012 have also been posted.  Following the April 2012 EC Meeting this morning (minutes and materials will be posted soon), there are now four EC Members that have lost their voting privileges--AT&T, SK Telecom, Samsung and Twitter.  In order to regain their privileges, these EC Members must attend two EC meeting in a row, as detailed in the EC Standing Rules.

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  • Sources of NetBeans Gradle Plugin

    - by Geertjan
    Here is where you can find the sources of the latest and greatest NetBeans Gradle plugin: http://java.net/projects/nb-api-samples/sources/api-samples/show/versions/7.1/misc/GradleSupport To use it, download the sources above, open the sources into the IDE (which must be 7.1.1 or above), then you'll have a NetBeans module. Right-click it to run the module into a new instance of NetBeans IDE. In the Options window's Miscellaneous tab, there's a Gradle subtab for setting the Gradle location. In the New File dialog, in the Other category, you'll find a template named "Empty Gradle file". Make sure to name it "build" and to put it in the root directory of the application (by leaving the Folder field empty, you're specifying it should be created in the root directory). You'll then be able to expand the build.gradle file: Double-click a task to run it. When you open the file, it opens in the Groovy editor, if the Groovy editor is installed. When you make changes in the file, the list of tasks, shown above, is automatically recreated. It's at a really early stage of development and it would be great if developers out there would be interested in adding more features to it.

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  • SOA Suite 11g: Unable to start domain (Error occurred during initialization of VM)

    - by Chris Tomkins
    If you have recently installed SOA Suite, created a domain and then tried to start it only to find it fails with the error: Error occurred during initialization of VM Could not reserve enough space for object heap Could not create the Java virtual machine. the solution is to edit the file <domain home>\bin\setSOADomainEnv.cmd/sh (depending on your platform) and modify the line: set DEFAULT_MEM_ARGS=-Xms512m -Xmx1024m to something like: set DEFAULT_MEM_ARGS=-Xms512m -Xmx768m Save the file and then try to start your domain again. Everything should now work at least it does on the Dell Latitude 630 laptop with 4Gb RAM that I have. Technorati Tags: soa suite,11g,java,troubleshooting,problems,domain

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  • GNOME 3.4 released, with smooth & fast magnification

    - by Peter Korn
    The GNOME community released GNOME 3.4 today. This release contains several new accessibility features, along with a new set of custom high-contrast icons which improve the user experience for users needing improved contrast. This release also makes available the AEGIS-funded GNOME Shell Magnifier. This magnifier leverages the powerful graphics functionality built into all modern video cards for smooth and fast magnification in GNOME. You can watch a video of that magnifier (with the previous version of the preference dialog), which shows all of the features now available in GNOME 3.4. This includes full/partial screen magnification, a magnifier lens, full or partial mouse cross hairs with translucency, and several mouse tracking modes. Future improvements planned for GNOME 3.6 include focus & caret tracking, and a variety of color/contrast controls.

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  • Add-ons for Firefox - Java Plugin has been blocked JRE versions below 1.6.0_31 or between 1.7.0 and 1.7.0_2

    - by user702295
    As Java 1.6u31 is not certified for use with EBS or Demantra, you may notice issues in relation to the Java plug-in.  Demantra Development is currently working to certify Java 1.6u31.  They are recommending that you upgrade to that version. EBS customers, should not be installing 1.6u31 as it is not certified.  If you do upgrade your browser, you will either need to downgrade to a lower release of Firefox or find a way of allowing Firefox to use the older version of the Java Plug-in.

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  • Spotlight on GlassFish 4.1: #7 WebSocket Session Throttling and JMX Monitoring

    - by delabassee
    'Spotlight on GlassFish 4.1' is a series of posts that highlights specific enhancements of the upcoming GlassFish 4.1 release. It could be a new feature, a fix, a behavior change, a tip, etc. #7 WebSocket Session Throttling and JMX Monitoring GlassFish 4.1 embeds Tyrus 1.8.1 which is compliant with the Maintenance Release of JSR 356 ("WebSocket API 1.1"). This release also brings brings additional features to the WebSocket support in GlassFish. JMX Monitoring: Tyrus now exposes WebSocket metrics through JMX . In GF 4.1, the following message statistics are monitored for both sent and received messages: messages count messages count per second average message size smallest message size largest message size Those statistics are collected independently of the message type (global count) and per specific message type (text, binary and control message). In GF 4.1, Tyrus also monitors, and exposes through JMX, errors at the application and endpoint level. For more information, please check Tyrus JMX Monitoring Session Throttling To preserve resources on the server hosting websocket endpoints, Tyrus now offers ways to limit the number of open sessions. Those limits can be configured at different level: per whole application per endpoint per remote endpoint address (client IP address)   For more details, check Tyrus Session Throttling. The next entry will focus on Tyrus new clients-side features.

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  • Feynman's inbox

    - by user12607414
    Here is Richard Feynman writing on the ease of criticizing theories, and the difficulty of forming them: The problem is not just to say something might be wrong, but to replace it by something — and that is not so easy. As soon as any really definite idea is substituted it becomes almost immediately apparent that it does not work. The second difficulty is that there is an infinite number of possibilities of these simple types. It is something like this. You are sitting working very hard, you have worked for a long time trying to open a safe. Then some Joe comes along who knows nothing about what you are doing, except that you are trying to open the safe. He says ‘Why don’t you try the combination 10:20:30?’ Because you are busy, you have tried a lot of things, maybe you have already tried 10:20:30. Maybe you know already that the middle number is 32 not 20. Maybe you know as a matter of fact that it is a five digit combination… So please do not send me any letters trying to tell me how the thing is going to work. I read them — I always read them to make sure that I have not already thought of what is suggested — but it takes too long to answer them, because they are usually in the class ‘try 10:20:30’. (“Seeking New Laws”, page 161 in The Character of Physical Law.) As a sometime designer (and longtime critic) of widely used computer systems, I have seen similar difficulties appear when anyone undertakes to publicly design a piece of software that may be used by many thousands of customers. (I have been on both sides of the fence, of course.) The design possibilities are endless, but the deep design problems are usually hidden beneath a mass of superfluous detail. The sheer numbers can be daunting. Even if only one customer out of a thousand feels a need to express a passionately held idea, it can take a long time to read all the mail. And it is a fact of life that many of those strong suggestions are only weakly supported by reason or evidence. Opinions are plentiful, but substantive research is time-consuming, and hence rare. A related phenomenon commonly seen with software is bike-shedding, where interlocutors focus on surface details like naming and syntax… or (come to think of it) like lock combinations. On the other hand, software is easier than quantum physics, and the population of people able to make substantial suggestions about software systems is several orders of magnitude bigger than Feynman’s circle of colleagues. My own work would be poorer without contributions — sometimes unsolicited, sometimes passionately urged on me — from the open source community. If a Nobel prize winner thought it was worthwhile to read his mail on the faint chance of learning a good idea, I am certainly not going to throw mine away. (In case anyone is still reading this, and is wondering what provoked a meditation on the quality of one’s inbox contents, I’ll simply point out that the volume has been very high, for many months, on the Lambda-Dev mailing list, where the next version of the Java language is being discussed. Bravo to those of my colleagues who are surfing that wave.) I started this note thinking there was an odd parallel between the life of the physicist and that of a software designer. On second thought, I’ll bet that is the story for anybody who works in public on something requiring special training. (And that would be pretty much anything worth doing.) In any case, Feynman saw it clearly and said it well.

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  • Online ALTER TABLE in MySQL 5.6

    - by Marko Mäkelä
    This is the low-level view of data dictionary language (DDL) operations in the InnoDB storage engine in MySQL 5.6. John Russell gave a more high-level view in his blog post April 2012 Labs Release – Online DDL Improvements. MySQL before the InnoDB Plugin Traditionally, the MySQL storage engine interface has taken a minimalistic approach to data definition language. The only natively supported operations were CREATE TABLE, DROP TABLE and RENAME TABLE. Consider the following example: CREATE TABLE t(a INT); INSERT INTO t VALUES (1),(2),(3); CREATE INDEX a ON t(a); DROP TABLE t; The CREATE INDEX statement would be executed roughly as follows: CREATE TABLE temp(a INT, INDEX(a)); INSERT INTO temp SELECT * FROM t; RENAME TABLE t TO temp2; RENAME TABLE temp TO t; DROP TABLE temp2; You could imagine that the database could crash when copying all rows from the original table to the new one. For example, it could run out of file space. Then, on restart, InnoDB would roll back the huge INSERT transaction. To fix things a little, a hack was added to ha_innobase::write_row for committing the transaction every 10,000 rows. Still, it was frustrating that even a simple DROP INDEX would make the table unavailable for modifications for a long time. Fast Index Creation in the InnoDB Plugin of MySQL 5.1 MySQL 5.1 introduced a new interface for CREATE INDEX and DROP INDEX. The old table-copying approach can still be forced by SET old_alter_table=0. This interface is used in MySQL 5.5 and in the InnoDB Plugin for MySQL 5.1. Apart from the ability to do a quick DROP INDEX, the main advantage is that InnoDB will execute a merge-sort algorithm before inserting the index records into each index that is being created. This should speed up the insert into the secondary index B-trees and potentially result in a better B-tree fill factor. The 5.1 ALTER TABLE interface was not perfect. For example, DROP FOREIGN KEY still invoked the table copy. Renaming columns could conflict with InnoDB foreign key constraints. Combining ADD KEY and DROP KEY in ALTER TABLE was problematic and not atomic inside the storage engine. The ALTER TABLE interface in MySQL 5.6 The ALTER TABLE storage engine interface was completely rewritten in MySQL 5.6. Instead of introducing a method call for every conceivable operation, MySQL 5.6 introduced a handful of methods, and data structures that keep track of the requested changes. In MySQL 5.6, online ALTER TABLE operation can be requested by specifying LOCK=NONE. Also LOCK=SHARED and LOCK=EXCLUSIVE are available. The old-style table copying can be requested by ALGORITHM=COPY. That one will require at least LOCK=SHARED. From the InnoDB point of view, anything that is possible with LOCK=EXCLUSIVE is also possible with LOCK=SHARED. Most ALGORITHM=INPLACE operations inside InnoDB can be executed online (LOCK=NONE). InnoDB will always require an exclusive table lock in two phases of the operation. The execution phases are tied to a number of methods: handler::check_if_supported_inplace_alter Checks if the storage engine can perform all requested operations, and if so, what kind of locking is needed. handler::prepare_inplace_alter_table InnoDB uses this method to set up the data dictionary cache for upcoming CREATE INDEX operation. We need stubs for the new indexes, so that we can keep track of changes to the table during online index creation. Also, crash recovery would drop any indexes that were incomplete at the time of the crash. handler::inplace_alter_table In InnoDB, this method is used for creating secondary indexes or for rebuilding the table. This is the ‘main’ phase that can be executed online (with concurrent writes to the table). handler::commit_inplace_alter_table This is where the operation is committed or rolled back. Here, InnoDB would drop any indexes, rename any columns, drop or add foreign keys, and finalize a table rebuild or index creation. It would also discard any logs that were set up for online index creation or table rebuild. The prepare and commit phases require an exclusive lock, blocking all access to the table. If MySQL times out while upgrading the table meta-data lock for the commit phase, it will roll back the ALTER TABLE operation. In MySQL 5.6, data definition language operations are still not fully atomic, because the data dictionary is split. Part of it is inside InnoDB data dictionary tables. Part of the information is only available in the *.frm file, which is not covered by any crash recovery log. But, there is a single commit phase inside the storage engine. Online Secondary Index Creation It may occur that an index needs to be created on a new column to speed up queries. But, it may be unacceptable to block modifications on the table while creating the index. It turns out that it is conceptually not so hard to support online index creation. All we need is some more execution phases: Set up a stub for the index, for logging changes. Scan the table for index records. Sort the index records. Bulk load the index records. Apply the logged changes. Replace the stub with the actual index. Threads that modify the table will log the operations to the logs of each index that is being created. Errors, such as log overflow or uniqueness violations, will only be flagged by the ALTER TABLE thread. The log is conceptually similar to the InnoDB change buffer. The bulk load of index records will bypass record locking. We still generate redo log for writing the index pages. It would suffice to log page allocations only, and to flush the index pages from the buffer pool to the file system upon completion. Native ALTER TABLE Starting with MySQL 5.6, InnoDB supports most ALTER TABLE operations natively. The notable exceptions are changes to the column type, ADD FOREIGN KEY except when foreign_key_checks=0, and changes to tables that contain FULLTEXT indexes. The keyword ALGORITHM=INPLACE is somewhat misleading, because certain operations cannot be performed in-place. For example, changing the ROW_FORMAT of a table requires a rebuild. Online operation (LOCK=NONE) is not allowed in the following cases: when adding an AUTO_INCREMENT column, when the table contains FULLTEXT indexes or a hidden FTS_DOC_ID column, or when there are FOREIGN KEY constraints referring to the table, with ON…CASCADE or ON…SET NULL option. The FOREIGN KEY limitations are needed, because MySQL does not acquire meta-data locks on the child or parent tables when executing SQL statements. Theoretically, InnoDB could support operations like ADD COLUMN and DROP COLUMN in-place, by lazily converting the table to a newer format. This would require that the data dictionary keep multiple versions of the table definition. For simplicity, we will copy the entire table, even for DROP COLUMN. The bulk copying of the table will bypass record locking and undo logging. For facilitating online operation, a temporary log will be associated with the clustered index of table. Threads that modify the table will also write the changes to the log. When altering the table, we skip all records that have been marked for deletion. In this way, we can simply discard any undo log records that were not yet purged from the original table. Off-page columns, or BLOBs, are an important consideration. We suspend the purge of delete-marked records if it would free any off-page columns from the old table. This is because the BLOBs can be needed when applying changes from the log. We have special logging for handling the ROLLBACK of an INSERT that inserted new off-page columns. This is because the columns will be freed at rollback.

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  • New Procurement Report for Transportation Sourcing

    - by John Murphy
    Welcome to our fourth annual transportation procurement benchmark report. American Shipper, in partnership with the Council of Supply Chain Management Professionals (CSCMP) and the Retail Industry Leaders Association (RILA), surveyed roughly 275 transportation buyers and sellers on procurement practices, processes, technologies and results. Some key findings: • Manual, spreadsheet-based procurement processes remain the most prevalent among transportation buyers, with 42 percent of the total • Another 25 percent of respondents use a hybrid platform, which presumably means these buyers are using spreadsheets for at least one mode and/or geography • Only 23 percent of buyers are using a completely systems-based approach of some kind • Shippers were in a holding pattern with regards to investment in procurement systems the past year • Roughly three-quarters of survey respondents report that transportation spend has increased in 2012, although the pace has declined slightly from last year’s increases • Nearly every survey respondent purchases multiple modes of transportation • The number of respondents with plans to address technology to support the procurement process has increased in 2012. About one quarter of respondents who do not have a system report they have a budget for this investment in the next two years.

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  • BIP 10.1.3.4.x June 2010 Update Available

    - by Tim Dexter
    A new patchset for 10.1.3.4.0 and 10.1.3.4.1 is available on Metalink. some notes: The patch number is 9791839. This patchset includes 28 new bug fixes since the last patchset release on March 31. This is a culmulative update that includes all the fixes and enhancements from previous updates. The patch will supercede the other two updates. Install instructions are in the readme inside the patch There is also a new BIP client patch available, 9821068. No new template building features to my knowledge but there is an update to the template viewer to allow you to test and debug you siny new Excel templates. Server 8529759XMLP_TEMPLATE_DESIGNER CANNOT SAVE / UPLOAD TEMPLATE 8566455 BI PUBLISHER SCHEDULER DOES NOT START WITH JNDI DATA SOURCE 9295667RESPONSE OF GETSCHEDULEDREPORTINFO RETURNS STATUS AS 'UNKNOWN' INSTEAD OF 'SCHED 9542413 UNABLE TO CREATE A NEW TEMPLATE FROM UI 9546137 EXCEL ANALYZER TEMPLATE FAILS FOR A STRUCTURED XML WHEN IT IS UPLOADED 9556338 SIEBEL - BIP PARAMETERS SORT ORDER 9560562 BI PUBLISHER CACHE DIRECTORY FILLING UP AND POINTING TO INVALID DIRECTORY 9646599 USER ROLE DEFINED AS PRIMARYGROUP IN ACTIVEDIRECTORY GROUP ARE NOT RECOGNIZED 9664768 ER: NEED TO BIND USER ATTRIBUTE VALUES DEFINED IN ACTIVEDIRECTORY IN DATA QUERY 9665075 BI PUBLISHER AFTER 9546699 NOTIFICATIONS FOR REPORTS FAIL 9669973 ER: NEED TO SUPPORT PRE-PROCESSING XML WITH XSL FOR EXCEL TEMPLATE 9704401 ER: NEED TO SUPPORT DEFAULT GROUP FOR ALL USERS IN LDAP/AD SECURITY 9711899 SEARCH PARAMETER IS NOT VISIBLE WHEN SCHEDULE A REPORT 9753736 SOME ROLES FROM ACTIVEDIRECTORY ARE NOT LISTED IN ADMIN ROLE-FOLDER MAPPING 9771354 MULTIPLE PARAMETERS IN 10.1.3.4.1 DATA TEMPLATE ACT ACT DIFFERENTLY FROM 10.1.3. 9772982 "REFRESH OTHER PARAMETERS ON CHANGE" DOESN'T WORK PROPERLY Core  8599646 ER:EXTRA SPACE ADDED BELOW IMAGE IN A TABLE CELL OF TEMPLATE IN FIREFOX 9377593 SOME ROWS HEIGHT IN HTML/EXCEL OUTPUT ARE TOO BIG IN BI PUBLISHER 9487030 NAVIGATION TREE REPEATING TWICE IN PDF DCCUMENT CREATED BY BI PUBLISHER 9509432 PERFORMANCE ISSUE WHEN USING PDF TEMPLATE 9534424 PS: DOCUMENT-REPEAT-FULLPATH-ELEMENTNAME SHOULDNT USE DOT "." AS PATH SEPARATOR 9553360 FORMPROCESSOR CANNOT PARSE SOME PDF TEMPLATES 9554959 TEXT IN AUTOSHAPE IS NOT PROPERLY CUT OFF FOR LINE WRAPPING 9569417 AFTER APPLYING PATCH 9509432 PDF TEMPLATES WITH DBDRV PRODUCE NO OUTPUT 9571670 ER: EXCEL TEMPLATE TO SUPPORT XSLT LOGIC AND XSL CUSTOM EXTENTIONS 9589809 XSL:CALL-TEMPLATE IS MISSING IN GENERATED XSL FILE 9605920 BOOKMARK TESTCASE FAILED DUE TO ER9283933 9689634 PRINT FLOW CHART USING ACROSS 3 DOWN 0 GIVES EXTRA BLANK PAGES You might have noticed some fixes and ehancements to the Excel templates so I can get back on those now. There is a part two to the Mapviewer BIP Mashup coming ... just need aanother 4 hours in the day to squeeze it in.

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  • Un-used Indexes on MDP_MATRIX Consuming Resources

    - by user702295
    Disable un-used Indexes: As much as it is recommended to create relevant indexes, it is advised not to have too many indexes on the mdp_matrix table.  Too many indexes will cause long waits on the table as indexes needs to get updated every time the table is updated.  There are many seeded indexes on mdp_matrix, every out of the box data model level has an index on the matrix table.  If a level is unused in the specific data model of the implementation, it is advisable to disable that index.  If the customer is not sure if and how indexes are utilized, the DBA can monitor all indexes.  After a few cycles of operation, the DBA should go over that list and see which indexes have not been used.  Consider disabling them. There are scripts on the net to monitor indexes or use the monitoring usage clause in the alter index statement.

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  • Integrating a Progress Bar into a Wizard

    - by Geertjan
    Normally, when you create a wizard, as described here, and you have your own iterator, you'll have a class signature like this: public final class MyWizardWizardIterator implements WizardDescriptor.InstantiatingIterator<WizardDescriptor> { Let's now imagine that you've got some kind of long running process your wizard needs to perform. Maybe the wizard needs to connect to something, which could take some time. Start by adding a new dependency on the Progress API, which gives you the classes that access the NetBeans Platform's progress functionality. Now all we need to do is change the class signature very slightly: public final class MyWizardWizardIterator implements WizardDescriptor.ProgressInstantiatingIterator<WizardDescriptor> { Take a look at the part of the signature above that is highlighted. I.e., use WizardDescriptor.ProgressInstantiatingIterator instead of WizardDescriptor.InstantiatingIterator. Now you will need to implement a new instantiate method, one that receives a ProgressHandle. The other instantiate method, i.e., the one that already existed, should never be accessed anymore, and so you can add an assert to that effect: @Override public Set<?> instantiate() throws IOException {     throw new AssertionError("instantiate(ProgressHandle) " //NOI18N             + "should have been called"); //NOI18N } @Override public Set instantiate(ProgressHandle ph) throws IOException {     return Collections.emptySet(); } OK. Let's now add some code to make our progress bar work: @Override public Set instantiate(ProgressHandle ph) throws IOException {     ph.start();     ph.progress("Processing...");     try {         //Simulate some long process:         Thread.sleep(2500);     } catch (InterruptedException ex) {         Exceptions.printStackTrace(ex);     }     ph.finish();     return Collections.emptySet(); } And, maybe even more impressive, you can also do this: @Override public Set instantiate(ProgressHandle ph) throws IOException {     ph.start(1000);     ph.progress("Processing...");     try {         //Simulate some long process:         ph.progress("1/4 complete...", 250);         Thread.sleep(2500);         ph.progress("1/2 complete...", 500);         Thread.sleep(5000);         ph.progress("3/4 complete...", 750);         Thread.sleep(7500);         ph.progress("Complete...", 1000);         Thread.sleep(1000);     } catch (InterruptedException ex) {         Exceptions.printStackTrace(ex);     }     ph.finish();     return Collections.emptySet(); } The screenshots above show you what you should see when the Finish button is clicked in each case.

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  • JCP 2.9 & Transparency Spec Lead Call material is available

    - by Heather VanCura
    The JCP 2.9 & Transparency Spec Lead Call materials and recording from 9 November are now available on the JCP.org multimedia page.  Learn about changes introduced with JCP 2.9, effective Tuesday, 13 November, and a review of the JCP.Next reform efforts. Plus, a progress report on JCP 2.8, specifically around the areas of transparency, participation and agility, as well as suggestions for how you can get more involved in supporting these efforts with the current JCP program JSRs. 

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  • A Patent for Workload Management Based on Service Level Objectives

    - by jsavit
    I'm very pleased to announce that after a tiny :-) wait of about 5 years, my patent application for a workload manager was finally approved. Background Many operating systems have a resource manager which lets you control machine resources. For example, Solaris provides controls for CPU with several options: shares for proportional CPU allocation. If you have twice as many shares as me, and we are competing for CPU, you'll get about twice as many CPU cycles), dedicated CPU allocation in which a number of CPUs are exclusively dedicated to an application's use. You can say that a zone or project "owns" 8 CPUs on a 32 CPU machine, for example. And, capped CPU in which you specify the upper bound, or cap, of how much CPU an application gets. For example, you can throttle an application to 0.125 of a CPU. (This isn't meant to be an exhaustive list of Solaris RM controls.) Workload management Useful as that is (and tragic that some other operating systems have little resource management and isolation, and frighten people into running only 1 app per OS instance - and wastefully size every server for the peak workload it might experience) that's not really workload management. With resource management one controls the resources, and hope that's enough to meet application service objectives. In fact, we hold resource distribution constant, see if that was good enough, and adjust resource distribution if that didn't meet service level objectives. Here's an example of what happens today: Let's try 30% dedicated CPU. Not enough? Let's try 80% Oh, that's too much, and we're achieving much better response time than the objective, but other workloads are starving. Let's back that off and try again. It's not the process I object to - it's that we to often do this manually. Worse, we sometimes identify and adjust the wrong resource and fiddle with that to no useful result. Back in my days as a customer managing large systems, one of my users would call me up to beg for a "CPU boost": Me: "it won't make any difference - there's plenty of spare CPU to be had, and your application is completely I/O bound." User: "Please do it anyway." Me: "oh, all right, but it won't do you any good." (I did, because he was a friend, but it didn't help.) Prior art There are some operating environments that take a stab about workload management (rather than resource management) but I find them lacking. I know of one that uses synthetic "service units" composed of the sum of CPU, I/O and memory allocations multiplied by weighting factors. A workload is set to make a target rate of service units consumed per second. But this seems to be missing a key point: what is the relationship between artificial 'service units' and actually meeting a throughput or response time objective? What if I get plenty of one of the components (so am getting enough service units), but not enough of the resource whose needed to remove the bottleneck? Actual workload management That's not really the answer either. What is needed is to specify a workload's service levels in terms of externally visible metrics that are meaningful to a business, such as response times or transactions per second, and have the workload manager figure out which resources are not being adequately provided, and then adjust it as needed. If an application is not meeting its service level objectives and the reason is that it's not getting enough CPU cycles, adjust its CPU resource accordingly. If the reason is that the application isn't getting enough RAM to keep its working set in memory, then adjust its RAM assignment appropriately so it stops swapping. Simple idea, but that's a task we keep dumping on system administrators. In other words - don't hold the number of CPU shares constant and watch the achievement of service level vary. Instead, hold the service level constant, and dynamically adjust the number of CPU shares (or amount of other resources like RAM or I/O bandwidth) in order to meet the objective. Instrumenting non-instrumented applications There's one little problem here: how do I measure application performance in a way relating to a service level. I don't want to do it based on internal resources like number of CPU seconds it received per minute - We need to make resource decisions based on externally visible and meaningful measures of performance, not synthetic items or internal resource counters. If I have a way of marking the beginning and end of a transaction, I can then measure whether or not the application is meeting an objective based on it. If I can observe the delay factors for an application, I can see which resource shortages are slowing an application enough to keep it from meeting its objectives. I can then adjust resource allocations to relieve those shortages. Fortunately, Solaris provides facilities for both marking application progress and determining what factors cause application latency. The Solaris DTrace facility let's me introspect on application behavior: in particular I can see events like "receive a web hit" and "respond to that web hit" so I can get transaction rate and response time. DTrace (and tools like prstat) let me see where latency is being added to an application, so I know which resource to adjust. Summary After a delay of a mere few years, I am the proud creator of a patent (advice to anyone interested in going through the process: don't hold your breath!). The fundamental idea is fairly simple: instead of holding resource constant and suffering variable levels of success meeting service level objectives, properly characterise the service level objective in meaningful terms, instrument the application to see if it's meeting the objective, and then have a workload manager change resource allocations to remove delays preventing service level attainment. I've done it by hand for a long time - I think that's what a computer should do for me.

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  • Application Scope v's Static - Not Quite the same

    - by Duncan Mills
    An interesting question came up today which, innocent as it sounded, needed a second or two to consider. What's the difference between storing say a Map of reference information as a Static as opposed to storing the same map as an application scoped variable in JSF?  From the perspective of the web application itself there seems to be no functional difference, in both cases, the information is confined to the current JVM and potentially visible to your app code (note that Application Scope is not magically propagated across a cluster, you would need a separate instance on each VM). To my mind the primary consideration here is a matter of leakage. A static will be (potentially) visible to everything running within the same VM (OK this depends on which class-loader was used but let's keep this simple), and this includes your model code and indeed other web applications running in the same container. An Application Scoped object, in JSF terms, is much more ring-fenced and is only visible to the Web app itself, not other web apps running on the same server and not directly to the business model layer if that is running in the same VM. So given that I'm a big fan of coding applications to say what I mean, then using Application Scope appeals because it explicitly states how I expect the data to be used and a provides a more explicit statement about visibility and indeed dependency as I'd generally explicitly inject it where it is needed.  Alternative viewpoints / thoughts are, as ever, welcomed...

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  • Cloud Odyssey: A Hero's Quest Wins Two Telly Awards!

    - by Sandra Cheevers
    Cloud Odyssey: A Hero's Quest is a sci-fi movie experience that shows you the key success factors for guiding your own journey to the cloud.   The movie shows the journey to a mysterious cloud planet, as a metaphor to YOUR journey to the cloud. And now, Cloud Odyssey: A Hero's Quest! receives 2 Telly awards in the categories 1) Motivational and 2) Use of Animation. This is truly an honor to be recognized in the company of so many outstanding entries from a wide range of major players, including Disney, Coca-Cola, NBC, Discovery...Kudos to the Cloud Odyssey team!

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  • ZFS for Database Log Files

    - by user12620111
    I've been troubled by drop outs in CPU usage in my application server, characterized by the CPUs suddenly going from close to 90% CPU busy to almost completely CPU idle for a few seconds. Here is an example of a drop out as shown by a snippet of vmstat data taken while the application server is under a heavy workload. # vmstat 1  kthr      memory            page            disk          faults      cpu  r b w   swap  free  re  mf pi po fr de sr s3 s4 s5 s6   in   sy   cs us sy id  1 0 0 130160176 116381952 0 16 0 0 0 0  0  0  0  0  0 207377 117715 203884 70 21 9  12 0 0 130160160 116381936 0 25 0 0 0 0 0  0  0  0  0 200413 117162 197250 70 20 9  11 0 0 130160176 116381920 0 16 0 0 0 0 0  0  1  0  0 203150 119365 200249 72 21 7  8 0 0 130160176 116377808 0 19 0 0 0 0  0  0  0  0  0 169826 96144 165194 56 17 27  0 0 0 130160176 116377800 0 16 0 0 0 0  0  0  0  0  1 10245 9376 9164 2  1 97  0 0 0 130160176 116377792 0 16 0 0 0 0  0  0  0  0  2 15742 12401 14784 4 1 95  0 0 0 130160176 116377776 2 16 0 0 0 0  0  0  1  0  0 19972 17703 19612 6 2 92  14 0 0 130160176 116377696 0 16 0 0 0 0 0  0  0  0  0 202794 116793 199807 71 21 8  9 0 0 130160160 116373584 0 30 0 0 0 0  0  0 18  0  0 203123 117857 198825 69 20 11 This behavior occurred consistently while the application server was processing synthetic transactions: HTTP requests from JMeter running on an external machine. I explored many theories trying to explain the drop outs, including: Unexpected JMeter behavior Network contention Java Garbage Collection Application Server thread pool problems Connection pool problems Database transaction processing Database I/O contention Graphing the CPU %idle led to a breakthrough: Several of the drop outs were 30 seconds apart. With that insight, I went digging through the data again and looking for other outliers that were 30 seconds apart. In the database server statistics, I found spikes in the iostat "asvc_t" (average response time of disk transactions, in milliseconds) for the disk drive that was being used for the database log files. Here is an example:                     extended device statistics     r/s    w/s   kr/s   kw/s wait actv wsvc_t asvc_t  %w  %b device     0.0 2053.6    0.0 8234.3  0.0  0.2    0.0    0.1   0  24 c3t60080E5...F4F6d0s0     0.0 2162.2    0.0 8652.8  0.0  0.3    0.0    0.1   0  28 c3t60080E5...F4F6d0s0     0.0 1102.5    0.0 10012.8  0.0  4.5    0.0    4.1   0  69 c3t60080E5...F4F6d0s0     0.0   74.0    0.0 7920.6  0.0 10.0    0.0  135.1   0 100 c3t60080E5...F4F6d0s0     0.0  568.7    0.0 6674.0  0.0  6.4    0.0   11.2   0  90 c3t60080E5...F4F6d0s0     0.0 1358.0    0.0 5456.0  0.0  0.6    0.0    0.4   0  55 c3t60080E5...F4F6d0s0     0.0 1314.3    0.0 5285.2  0.0  0.7    0.0    0.5   0  70 c3t60080E5...F4F6d0s0 Here is a little more information about my database configuration: The database and application server were running on two different SPARC servers. Storage for the database was on a storage array connected via 8 gigabit Fibre Channel Data storage and log file were on different physical disk drives Reliable low latency I/O is provided by battery backed NVRAM Highly available: Two Fibre Channel links accessed via MPxIO Two Mirrored cache controllers The log file physical disks were mirrored in the storage device Database log files on a ZFS Filesystem with cutting-edge technologies, such as copy-on-write and end-to-end checksumming Why would I be getting service time spikes in my high-end storage? First, I wanted to verify that the database log disk service time spikes aligned with the application server CPU drop outs, and they did: At first, I guessed that the disk service time spikes might be related to flushing the write through cache on the storage device, but I was unable to validate that theory. After searching the WWW for a while, I decided to try using a separate log device: # zpool add ZFS-db-41 log c3t60080E500017D55C000015C150A9F8A7d0 The ZFS log device is configured in a similar manner as described above: two physical disks mirrored in the storage array. This change to the database storage configuration eliminated the application server CPU drop outs: Here is the zpool configuration: # zpool status ZFS-db-41   pool: ZFS-db-41  state: ONLINE  scan: none requested config:         NAME                                     STATE         ZFS-db-41                                ONLINE           c3t60080E5...F4F6d0  ONLINE         logs           c3t60080E5...F8A7d0  ONLINE Now, the I/O spikes look like this:                     extended device statistics                  r/s    w/s   kr/s   kw/s wait actv wsvc_t asvc_t  %w  %b device     0.0 1053.5    0.0 4234.1  0.0  0.8    0.0    0.7   0  75 c3t60080E5...F8A7d0s0                     extended device statistics                  r/s    w/s   kr/s   kw/s wait actv wsvc_t asvc_t  %w  %b device     0.0 1131.8    0.0 4555.3  0.0  0.8    0.0    0.7   0  76 c3t60080E5...F8A7d0s0                     extended device statistics                  r/s    w/s   kr/s   kw/s wait actv wsvc_t asvc_t  %w  %b device     0.0 1167.6    0.0 4682.2  0.0  0.7    0.0    0.6   0  74 c3t60080E5...F8A7d0s0     0.0  162.2    0.0 19153.9  0.0  0.7    0.0    4.2   0  12 c3t60080E5...F4F6d0s0                     extended device statistics                  r/s    w/s   kr/s   kw/s wait actv wsvc_t asvc_t  %w  %b device     0.0 1247.2    0.0 4992.6  0.0  0.7    0.0    0.6   0  71 c3t60080E5...F8A7d0s0     0.0   41.0    0.0   70.0  0.0  0.1    0.0    1.6   0   2 c3t60080E5...F4F6d0s0                     extended device statistics                  r/s    w/s   kr/s   kw/s wait actv wsvc_t asvc_t  %w  %b device     0.0 1241.3    0.0 4989.3  0.0  0.8    0.0    0.6   0  75 c3t60080E5...F8A7d0s0                     extended device statistics                  r/s    w/s   kr/s   kw/s wait actv wsvc_t asvc_t  %w  %b device     0.0 1193.2    0.0 4772.9  0.0  0.7    0.0    0.6   0  71 c3t60080E5...F8A7d0s0 We can see the steady flow of 4k writes to the ZIL device from O_SYNC database log file writes. The spikes are from flushing the transaction group. Like almost all problems that I run into, once I thoroughly understand the problem, I find that other people have documented similar experiences. Thanks to all of you who have documented alternative approaches. Saved for another day: now that the problem is obvious, I should try "zfs:zfs_immediate_write_sz" as recommended in the ZFS Evil Tuning Guide. References: The ZFS Intent Log Solaris ZFS, Synchronous Writes and the ZIL Explained ZFS Evil Tuning Guide: Cache Flushes ZFS Evil Tuning Guide: Tuning ZFS for Database Performance

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